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Home/ Staff A–Z/ Agha Alfi Mirza
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Agha Alfi Mirza

Chairperson, Director of Cloud Computing & Big Data (CCBD), Centre for Data Sciences & Applied Machine Learning (CDSAML), Dean IQAC

Architecture Biotechnology Civil EC Campus RR Campus aghaalfimirza@pes.edu +91 80 6618 6610
6
Research Areas
3
Publications
9
Courses Taught
3
Qualifications
5
Roles Held
3
Achievements

About

I am a dedicated professional with a strong background in Artificial Intelligence, Machine Learning, and Computer Vision. I have a 13+ years of diverse experience in Teaching, Training, Research and Software Development with focus on Artificial Intelligence and Machine Learning. With over four years of experience as a Software Engineer and Trainer at Capgemini, I have worked on impactful projects like Self-Driving Cars, ADAS Perception Models, Number Plate Detection, and other AI&ML based Projects while training 300+ engineers in advanced technologies such as AI, Machine Learning, Data Science, Data Structures, Linux Internals and Python. My academic journey includes roles as a Lecturer and Assistant Professor, teaching a diverse range of courses including Linux, Operating Systems, Data Structures, Database Management System, Data Science and Machine Learning. Passionate about Explainable AI and ethical practices, I aim to contribute meaningfully to advancing AI systems that are transparent, fair, and aligned with human values. My multifaceted experience blends technical expertise with a commitment to empowering the next generation of learners and innovators.

Research Areas

6
Research Guidance
  • I bring a collaborative approach to research, drawing from my experience in Machine Learning, AI, and Computer Vision through my diverse experience in Academia and Industry.
Research Interest
  • Medical Neuroimaging
  • Trustworthy AI
  • Information Retrieval
  • Self-Driving Cars
  • Data Analytics

Publications

3
Conferences
  • Agha Alfi Mirza, Maitreyee Dutta, Siddheshwari Mishra, Agha Urfi Mirza, ‘Performance Evaluation of Different Classification Factors for Early Diagnosis of Alzheimer’s Disease’, Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019)
Others
  • Google Scholar - https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=h3f1WlUAAAAJ
  • ORCiD - https://orcid.org/my-orcid?orcid=0000-0001-5723-0649

Teaching

9
Machine LearningData ScienceOperating SystemsNetworkingLinux InternalsPython ProgrammingComputer VisionClinical Decision Support SystemsMedical Imaging

Education

3
  • M.E. in Computer Science and Engineering
    NITTTR Chandigarh
    2019
  • Post Graduate Diploma in Information Technology
    IIT Kharagpur
    2008
  • B.Tech in Computer Science and Engineering
    IET Purvanchal University Jaunpur
    2007

Experience

5
  • Assistant Professor
    PES University
    2025 – Till date
  • Technical Consultant (Sr. Software Engineer)
    Capgemini
    2021 – 2024
  • Assistant Professor
    Moradabad Institute of Technology
    2021 – 2021
  • Senior Research Fellow
    MNIT Jaipur
    2020 – 2020
  • Sr. Lecturer
    Ambition Institute of Technology
    2009 – 2019

Achievements

3
  • Earned recognition for excellence, including the Star Team Award and Outstanding Contribution in Delivery at Capgemini.
  • Earned recognition for excellence for Outstanding Contribution for AIT award at Ambition Institute of Technology, Varanasi.
  • Demonstrated leadership as a Project In-charge and Convener in the Computer Science Engineering department, contributing to both academic and research initiatives.

Responsibilities

3
  • Currently working as aa Assistant Professor in CSE-AIML Department
  • Working as Thesis Guide for B.Tech Students
  • Working as Industry Co-ordinator for the Department

Additional Info

1
I have a strong foundation in advanced technical and professional domains, with significant experience as a Full Stack AI Developer and Full Stack Python Developer. Leveraging my expertise, I have worked on impactful projects such as Self-Driving Cars and ADAS Perception Models. Additionally, I have trained over 300 engineers in cutting-edge areas like Machine Learning, Artificial Intelligence, Data Structures, Python, and Automated Testing.

Campus

EC Campus
EC Campus
RR Campus
RR Campus